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Modelling and advanced Earth observation technologies for coastal zone management

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modelling and advanced Earth observation technologies for coastal zone management/ edited by Elham Mahmoud Ali, Islam Abou El-Magd.
other author:	Ali, Elham Mahmoud.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxi, 439 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Chapter 1: Potential Geothermal energy along the eastern coast of the Suez-Gulf, Sinai, Egypt using remote sensing and geophysical techniques -- Chapter 2: Usage of Satellite Data and Geospatial Information for Shoreline Charges and Developmental Plans -- Chapter 3: Assessment of Climate Change Implications on Coastal and Marine Ecosystems Using Satellite Data -- Chapter 4: Assessment of Climate Change Impacts on Coral Reefs at the Red Sea (Egypt) Using Satellite Data -- Chapter 5: Cutting-edge Approaches in Coastal Air Quality Assessment and Warming Modeling -- Chapter 6: An Overview of Fisheries Significance Along the African North Coast and The Effectiveness of Remote Sensing in Predicting Potential Fishing Grounds: Approach Applicability for Sardine species -- Chapter 7: Enhancing Oil Spills Monitoring in Egypt Through Advanced Image Processing and Remote Sensing Techniques: Challenges, Applications, and Policy Implications -- Chapter 8: Machine Learning Application for Water Pollution Control and Water Treatment -- Chapter 9: Earth Observation Data for Mangrove Monitoring and Management at the Red Sea Coastline, Egypt -- Chapter 10: Potentiality of Remote Sensing for Monitoring Phytoplankton Bloom -- Chapter 11: Earth observation data and Simulation Modeling for Integrated Pest Management Programs: Monitoring distribution dimensions of insect pests along coastal cities -- Chapter 12: Unleashing Environmental Intelligence through AI, Image Processing, and Big Data: Paving the Path to a Sustainable Future -- Chapter 13: Evaluation of Land Use Efficiency using Multi-Temporal Satellite Images; Case Study in Alexandria Governorate, Egypt -- Chapter 14: Towards a Socio-Economic Resilience Assessment for Social Deterioration and Economic Decline: An Application in Greater Alexandria Coastal City Using Geospatial Models.
Contained By:	Springer Nature eBook
Subject:	Coastal zone management - Remote sensing. -
Online resource:	https://doi.org/10.1007/978-3-031-78768-3
ISBN:	9783031787683

Modelling and advanced Earth observation technologies for coastal zone management
Modelling and advanced Earth observation technologies for coastal zone management[electronic resource] /edited by Elham Mahmoud Ali, Islam Abou El-Magd. - Cham :Springer Nature Switzerland :2025. - xxi, 439 p. :ill. (chiefly color), digital ;24 cm. - Springer remote sensing/photogrammetry,2198-073X. - Springer remote sensing/photogrammetry..

Chapter 1: Potential Geothermal energy along the eastern coast of the Suez-Gulf, Sinai, Egypt using remote sensing and geophysical techniques -- Chapter 2: Usage of Satellite Data and Geospatial Information for Shoreline Charges and Developmental Plans -- Chapter 3: Assessment of Climate Change Implications on Coastal and Marine Ecosystems Using Satellite Data -- Chapter 4: Assessment of Climate Change Impacts on Coral Reefs at the Red Sea (Egypt) Using Satellite Data -- Chapter 5: Cutting-edge Approaches in Coastal Air Quality Assessment and Warming Modeling -- Chapter 6: An Overview of Fisheries Significance Along the African North Coast and The Effectiveness of Remote Sensing in Predicting Potential Fishing Grounds: Approach Applicability for Sardine species -- Chapter 7: Enhancing Oil Spills Monitoring in Egypt Through Advanced Image Processing and Remote Sensing Techniques: Challenges, Applications, and Policy Implications -- Chapter 8: Machine Learning Application for Water Pollution Control and Water Treatment -- Chapter 9: Earth Observation Data for Mangrove Monitoring and Management at the Red Sea Coastline, Egypt -- Chapter 10: Potentiality of Remote Sensing for Monitoring Phytoplankton Bloom -- Chapter 11: Earth observation data and Simulation Modeling for Integrated Pest Management Programs: Monitoring distribution dimensions of insect pests along coastal cities -- Chapter 12: Unleashing Environmental Intelligence through AI, Image Processing, and Big Data: Paving the Path to a Sustainable Future -- Chapter 13: Evaluation of Land Use Efficiency using Multi-Temporal Satellite Images; Case Study in Alexandria Governorate, Egypt -- Chapter 14: Towards a Socio-Economic Resilience Assessment for Social Deterioration and Economic Decline: An Application in Greater Alexandria Coastal City Using Geospatial Models.

This volume provides readers with the tools to unlock the potential of Earth observation (EO) technologies to transform coastal zone management. This comprehensive guide delves into how EO technologies can be used monitor and manage coastal areas, emphasizing sustainable land use and development. Designed for researchers, decision-makers, and environmental planners, this book offers multi-scale assessment approaches that provide actionable solutions and strategic plans for managing extensive environmental landscapes. Readers will discover innovative management solutions for a variety of environmental challenges, along with new methodologies aimed at sustainable development and the achievement of the United Nations Sustainable Development Goals (SDGs) and 2030 targets. This volume showcases numerous multi-tasked applications of satellite data from diverse sources, validating the immense value of earth observations in environmental management. By integrating this data into geographical databases, the book provide an ideal framework for spatial planning at various scales. Geospatial information is a crucial tool for creating interactive systems for spatial analysis, merging real-world data with forecasting models to support social and economic development. Geospatial information guides where and when to act, aiding in the development of strategic and implementation plans that promote sustainable development. Embrace the future of coastal zone management with this volume and equip yourself with the knowledge and tools to make informed, impactful decisions for a sustainable tomorrow.

ISBN: 9783031787683

Standard No.: 10.1007/978-3-031-78768-3doiSubjects--Topical Terms:

1001780
Coastal zone management
--Remote sensing.

LC Class. No.: HT391

Dewey Class. No.: 307.12

Modelling and advanced Earth observation technologies for coastal zone management
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520 $a This volume provides readers with the tools to unlock the potential of Earth observation (EO) technologies to transform coastal zone management. This comprehensive guide delves into how EO technologies can be used monitor and manage coastal areas, emphasizing sustainable land use and development. Designed for researchers, decision-makers, and environmental planners, this book offers multi-scale assessment approaches that provide actionable solutions and strategic plans for managing extensive environmental landscapes. Readers will discover innovative management solutions for a variety of environmental challenges, along with new methodologies aimed at sustainable development and the achievement of the United Nations Sustainable Development Goals (SDGs) and 2030 targets. This volume showcases numerous multi-tasked applications of satellite data from diverse sources, validating the immense value of earth observations in environmental management. By integrating this data into geographical databases, the book provide an ideal framework for spatial planning at various scales. Geospatial information is a crucial tool for creating interactive systems for spatial analysis, merging real-world data with forecasting models to support social and economic development. Geospatial information guides where and when to act, aiding in the development of strategic and implementation plans that promote sustainable development. Embrace the future of coastal zone management with this volume and equip yourself with the knowledge and tools to make informed, impactful decisions for a sustainable tomorrow.
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